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Complex correlation structure in consumption rates of major food groups: implications for the assessment of radiation exposure

Published online by Cambridge University Press:  16 October 2007

Melanie I Breuninger
Affiliation:
Institute of Nutritional Science, Justus-Liebig-University of Giessen, Goethestrasse 55, D-35390 Giessen, Germany
Gabriel A Schachtel
Affiliation:
Biostatistics, Justus-Liebig-University of Giessen, Germany
Petra M Lührmann
Affiliation:
Institute of Nutritional Science, Justus-Liebig-University of Giessen, Goethestrasse 55, D-35390 Giessen, Germany
Bernd Hartmann
Affiliation:
Institute of Nutritional Science, Justus-Liebig-University of Giessen, Goethestrasse 55, D-35390 Giessen, Germany
Monika Neuhäuser-Berthold*
Affiliation:
Institute of Nutritional Science, Justus-Liebig-University of Giessen, Goethestrasse 55, D-35390 Giessen, Germany
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Abstract

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Objective:

An extensive dataset on individual food consumption was analysed in order to study all pairwise correlations between the consumption rates of 11 major food groups. Additionally, the project aimed to examine and quantify the accuracy of a recently proposed estimator of total food consumption to be used for the estimation of radiation exposure by food. Such an inquiry seems justified, because the proposed estimator implicitly presumes an essentially positive correlation structure in food consumption rates.

Design:

Statistical analysis using representative data gathered in Germany in a nation-wide food consumption survey.

Setting:

Germany.

Subjects:

Individuals aged between 4 and 94 years namely 10901 males and 12308 females.

Results:

The consumption rates of 11 major food categories showed several significantly positive, but also a number of significantly negative, correlations. Negative associations between cereal and potato products persisted consistently over all age groups, independent of sex. Other significantly negative correlations were limited to certain age groups. Reflecting these negative correlations, a subsequent analysis of relative ranks of consumption revealed that no person in the sample had the highest consumption rates in all food groups simultaneously. Based on representative samples, overestimations of 34 to 53% were obtained if – as recently suggested in the context of radiation exposure prediction – the 95th percentiles of total food consumption were determined as sums of the corresponding percentiles of the food groups.

Conclusions:

The complex correlation structure of food group consumption rates, as identified in this study, bears important implications for various health-related issues. Ignoring them could lead to overly conservative estimations of radiation exposure due to food ingestion or to confounding effects in epidemiological studies on nutritional risk factors of diseases. The results also indicate that a distinction into different dietary patterns might be useful in characterising different consumption habits.

Type
Research Article
Copyright
Copyright © CABI Publishing 2003

References

1Ursin, G, Ziegler, RG, Subar, AF, Graubard, BI, Haile, RW, Hoover, R. Dietary patterns associated with a low-fat diet in the national health examination follow-up study: identification of potential confounders for epidemiologic analyses. Am. J. Epidemiol. 1993; 137: 916–27.CrossRefGoogle ScholarPubMed
2Elmstahl, S, Holmqvist, O, Gullberg, G, Johansson, U, Berglund, G. Dietary patterns in high and low consumers of meat in a Swedish cohort study. Appetite 1999; 32: 113.CrossRefGoogle Scholar
3Kübler, W, Anders, HJ, Heeschen, W, eds. Ergebnisse der Nationalen Verzehrsstudie (1985–1988) über die Lebensmittel- und Nährstoffaufnahme in der Bundesrepublik Deutschland. Vera-Schriftenreihe Band XI. Niederkleen: Wissenschaftlicher Fachverlag Dr. Fleck, 1994.Google Scholar
4 96/29/EURATOM Council Directive of 13 May 1996 laying down basic safety standards for the protection of the health workers and the general public against the dangers arising from ionising radiation, OJL-159 of 29/06/96.Google Scholar
5 Verordnung für die Umsetzung von EURATOM-Richtlinien zum Strahlenschutz, Bundesgesetzblatt Nr. 38, 20.07.2001, Artikel 1 “Verordnung über den Schutz vor Schäden durch ionisierende Strahlen (Strahlenschutzverordnung – StrlSchV)”.Google Scholar
6 Bundesminister der Justiz, ed. Allgemeine Verwaltungsvorschrift zu § 45 Strahlenschutzverordnung: Ermittlung der Strahlenexposition durch die Ableitung radioaktiver Stoffe aus kerntechnischen Anlagen oder Einrichtungen vom 21. Februar 1990. Bundesanzeiger 1990; 42(64a).Google Scholar
7Adolf, T. Nationale Verzehrsstudie (NVS). Verbundstudie Ernährungserhebung und Risikofaktorenanalytik (VERA). Dokumentation [ublic Use File on CD-ROM].Google Scholar
8Kübler, W, Anders, HJ, eds. Lebensmittel- und Nährstoffaufnahme in der Bundesrepublik Deutschland. Ergänzungsband zum Ernährungsbericht 1992 auf der Basis der Nationalen Verzehrsstudie. Vera-Schriftenreihe Band XII. Niederkleen: Wissenschaftlicher Fachverlag Dr. Fleck, 1994.Google Scholar
9Hu, FB. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr. Opin. Lipidol. 2002; 13: 39.CrossRefGoogle ScholarPubMed
10Pröhl, G, Müller, H. Radiation exposure from radionuclides in ground water: an uncertainty analysis for selected exposure scenarios. Radiat. Environ. Biophys. 1996; 35: 205–18.CrossRefGoogle ScholarPubMed
11Jacques, PF, Tucker, KL. Are dietary patterns useful for understanding the role of diet in chronic disease? Am. J. Clin. Nutr. 2001; 73: 12.CrossRefGoogle ScholarPubMed
12Cigna, AA. Health impacts of large releases of radionuclides. Interactions with human nutrition and other indices of population health. Ciba Found. Symp. 1997; 203: 141–51; discussion 151–4.Google ScholarPubMed
13Knudsen, LB. Legally induced abortions in Denmark after Chernobyl. Biomed. Pharmacother. 1991; 45: 229–31.CrossRefGoogle ScholarPubMed
14Mood, AM, Graybill, FA, Boes, DC. Introduction to the Theory of Statistics, 3rd ed. New York: McGraw-Hill, 1974.Google Scholar